Triple

T1946849
Position Surface form Disambiguated ID Type / Status
Subject Sheremetyevo International Airport E42072 entity
Predicate isHubFor P423 FINISHED
Object Nordwind Airlines E44678 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Nordwind Airlines | Statement: [Sheremetyevo International Airport, isHubFor, Nordwind Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nordwind Airlines
Context triple: [Sheremetyevo International Airport, isHubFor, Nordwind Airlines]
  • A. Nordwind Airlines chosen
    Nordwind Airlines is a Russian leisure and charter airline that primarily operates holiday and tourist flights from major hubs such as Moscow.
  • B. Red Wings Airlines
    Red Wings Airlines is a Russian passenger airline that operates scheduled and charter flights, primarily within Russia and to nearby international destinations.
  • C. McGee Airways
    McGee Airways was an early Alaskan airline founded in the 1930s that evolved through mergers and rebranding into what is now Alaska Airlines.
  • D. EuroAtlantic Airways
    EuroAtlantic Airways is a Portuguese charter airline known for operating long-haul and wet-lease services for other carriers worldwide.
  • E. Porter Airlines
    Porter Airlines is a Canadian regional airline known for its short-haul flights, premium-feel service, and primary operations from downtown Toronto.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a8870e08fc8190a319cbf2600db15f completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb32ebae881908f7541301f0198ae completed March 7, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbbf724081909b24680d483edbd1 completed March 8, 2026, 10:44 p.m.
Created at: March 4, 2026, 7:36 p.m.